Business Analyst
About this position
MAKA is dedicated to building the best electric motorcycles for Indonesian riders, driven by top-notch local engineering and craftsmanship. This position plays an important role in collecting, processing, and analyzing data to help drive strategic decision-making within the organization.
Responsibilities
• Gather and clean data from various sources, including point of sales system, CRM, after sales system, ensuring data integrity and quality
• Maintain databases and data systems, ensuring they are updated and accurate
• Analyze complex datasets to identify trends, patterns, and correlations in vehicle performance, customer behavior, and market trends
• Develop and implement data models and algorithms to support business decisions, particularly in areas such as sales strategies, marketing strategies, and operational efficiency
• Provide insights and recommendations based on data analysis to support strategic initiatives in the EV industry
• Create and maintain dashboards, reports, and visualizations to communicate findings to stakeholders (head of department)
• Present data findings in a clear and concise manner, making complex information accessible to non-technical audiences
• Work with cross-functional teams to understand their data needs and provide analytical support
• Train and support team members on data-related tools and processes, promoting a data-driven culture within the organization
• Stay updated with industry trends and best practices in data analytics and the electric vehicle industry
• Identify opportunities for process improvements and automation to enhance data accuracy and efficiency
Requirements
• Bachelor degree from data science, statistics, mathematics, computer science or related field
• Experience in automotive industry is a plus
• Proficiency in data analysis & visualization tools such as SQL & Metabase
• Strong understanding of statistical methods and data modeling techniques
• Excellent in problem-solving skills, attention to detail, strong organizational and time management skills
• Ability to analyze and interpret complex data sets to provide actionable insights
• Strong written and verbal communication skills